Journal
STATISTICS & PROBABILITY LETTERS
Volume 163, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.spl.2020.108781
Keywords
Clustering; Hierarchical clustering; Optimal transport; Sinkhorn distance
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Optimal Transport (OT) distances result in a powerful technique to compare the probability distributions. Defining a similarity measure between clusters has been an open problem in Statistics. This paper introduces a hierarchical clustering algorithm using the OT based distance measures and analyzes the performance of the proposed algorithm on standard datasets with respect to the existing and popular hierarchical clustering methods. (C) 2020 Elsevier B.V. All rights reserved.
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